By Hasso Plattner
Recent achievements in and software program improvement, reminiscent of multi-core CPUs and DRAM capacities of a number of terabytes consistent with server, enabled the creation of a innovative know-how: in-memory info administration. This expertise helps the versatile and very quick research of huge quantities of firm information. Professor Hasso Plattner and his examine staff on the Hasso Plattner Institute in Potsdam, Germany, were investigating and educating the corresponding ideas and their adoption within the software program for years.
This booklet is predicated on a web direction that used to be first introduced in autumn 2012 with greater than 13,000 enrolled scholars and marked the profitable place to begin of the openHPI e-learning platform. The direction is especially designed for college kids of computing device technology, software program engineering, and IT comparable matters, yet addresses company specialists, software program builders, know-how specialists, and IT analysts alike. Plattner and his staff specialise in exploring the internal mechanics of a column-oriented dictionary-encoded in-memory database. lined subject matters contain - among others - actual info garage and entry, uncomplicated database operators, compression mechanisms, and parallel subscribe to algorithms. past that, implications for destiny firm functions and their improvement are mentioned. step-by-step, readers will comprehend the unconventional changes and merits of the hot expertise over conventional row-oriented, disk-based databases.
In this thoroughly revised 2nd variation, we contain the suggestions of millions after all individuals on openHPI and take into consideration most modern developments in not easy- and software program. stronger figures, causes, and examples additional ease the knowledge of the suggestions awarded. We introduce complicated facts administration concepts comparable to obvious combination caches and supply new showcases that show the opportunity of in-memory databases for 2 varied industries: retail and lifestyles sciences.
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Additional info for A Course in In-Memory Data Management: The Inner Mechanics of In-Memory Databases
Dictionary encoding is applied to each column of a table separately. In the example, every distinct value in the first name column “fname” is replaced by a distinct integer value. g. Mary) in the dictionary is the representing number for that text (here: “24” for Mary). Until now, we have not saved any storage space. The benefits come to effect with values appearing more than once in a column. In our small example, the value “John” can be found twice in the column “fname”, namely on position 39 and 42.
Non-Uniform Memory Access (NUMA) attempts to solve this problem by introducing local memory locations with cheap access for the respective processing units. 4 shows a rough comparison between a Uniform Memory Access (UMA) and a Non-Uniform Memory Access (NUMA) system architecture. A UMA system is characterized by a deterministic access time for an arbitrary memory address independent of which processor makes the request as every memory chip is accessed through a central memory bus as shown in Fig.
Moore, Cramming more components onto integrated circuits. Electronics 38, 114 ff. (1965) [SKP12] D. Schwalb, J. Krueger, H. Plattner, Cache conscious column organization in in-memory column stores. Technical Report 60, Hasso-Plattner-Institute, December 2012 Chapter 5 A Blueprint of SanssouciDB SanssouciDB is a prototypical database system for unified analytical and transactional processing. The concepts of SanssouciDB build on prototypes developed at the HPI and an existing SAP database system.
A Course in In-Memory Data Management: The Inner Mechanics of In-Memory Databases by Hasso Plattner